The class `tskrrImputeHomogeneous`

is a subclass of the
class `tskrrHomogeneous`

and
`tskrrImpute`

specifically for homogeneous networks with imputed values. It is
the result of the function `impute_tskrr`

on a
homogeneous network model.

`y`

the matrix with responses

`k`

the eigen decomposition of the kernel matrix for the rows

`lambda.k`

the lambda value used for k

`pred`

the matrix with the predictions

`symmetry`

a character value that can have the possible values

`"symmetric"`

,`"skewed"`

or`"not"`

. It indicates whether the`y`

matrix is symmetric, skewed-symmetric or not symmetric.`has.hat`

a logical value indicating whether the kernel hat matrices are stored in the object.

`Hk`

the kernel hat matrix for the rows.

`labels`

a list with elements

`k`

and`g`

(see`tskrr-class`

). For homogeneous networks,`g`

is always`NA`

. If`k`

is`NA`

, the labels used are integers indicating the row resp column number.`imputeid`

a vector with integer values indicating which of the values in

`y`

are imputed`niter`

an integer value gving the number of iterations used

`tol`

a numeric value with the tolerance used

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